import gradio as gr
from fastai.vision.all import *

def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl')

categories = ('Grizzly', 'Black', 'Teddy')
def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

examples = ['grizzly.jpg', 'teddy.jpg', 'dunno.jpg']

intf = gr.Interface(
    fn=classify_image,
    inputs=gr.Image(height=192, width=192),
    outputs=gr.Label(),
    examples=examples
)

intf.launch()